1 files changed, 0 insertions, 26 deletions
diff --git a/runtimes/tests/neural_networks_test/generated/models/concat_float_4D_axis3_1_nnfw.model.cpp b/runtimes/tests/neural_networks_test/generated/models/concat_float_4D_axis3_1_nnfw.model.cpp
deleted file mode 100644
index 82ef41dc9..000000000
--- a/runtimes/tests/neural_networks_test/generated/models/concat_float_4D_axis3_1_nnfw.model.cpp
+++ /dev/null
@@ -1,26 +0,0 @@
-// Generated file (from: concat_float_4D_axis3_1_nnfw.mod.py). Do not edit
-void CreateModel(Model *model) {
-  OperandType type1(Type::INT32, {});
-  OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 3, 2});
-  OperandType type2(Type::TENSOR_FLOAT32, {1, 2, 3, 6});
-  // Phase 1, operands
-  auto op1 = model->addOperand(&type0);
-  auto op2 = model->addOperand(&type0);
-  auto op3 = model->addOperand(&type0);
-  auto axis0 = model->addOperand(&type1);
-  auto result = model->addOperand(&type2);
-  // Phase 2, operations
-  static int32_t axis0_init[] = {3};
-  model->setOperandValue(axis0, axis0_init, sizeof(int32_t) * 1);
-  model->addOperation(ANEURALNETWORKS_CONCATENATION, {op1, op2, op3, axis0}, {result});
-  // Phase 3, inputs and outputs
-  model->identifyInputsAndOutputs(
-    {op1, op2, op3},
-    {result});
-  assert(model->isValid());
-}
-
-bool is_ignored(int i) {
-  static std::set<int> ignore = {};
-  return ignore.find(i) != ignore.end();
-}